Machine learning in electrofacies classification and subsurface lithology interpretation: A rough set theory approach
Initially, electrofacies were introduced to define a set of recorded well log responses in order to characterize and distinguish a bed from the other rock units, as an advancement to the conventional application of well logs. Well logs are continuous records of several physical properties of drilled...
| Main Authors: | Hossain, T.M., Watada, J., Aziz, I.A., Hermana, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.30026 / |
| Published: |
MDPI AG
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090208381&doi=10.3390%2fapp10175940&partnerID=40&md5=8da713f066cf7d1f55bd37bcd663d023 http://eprints.utp.edu.my/30026/ |
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